Tal Ashuach

2.4k total citations · 1 hit paper
10 papers, 515 citations indexed

About

Tal Ashuach is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Tal Ashuach has authored 10 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Artificial Intelligence. Recurrent topics in Tal Ashuach's work include Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Cell Image Analysis Techniques (3 papers). Tal Ashuach is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Cell Image Analysis Techniques (3 papers). Tal Ashuach collaborates with scholars based in United States, Israel and Japan. Tal Ashuach's co-authors include Nir Yosef, Nadav Ahituv, Anat Kreimer, Chun Ye, Fumitaka Inoue, David DeTomaso, Meena Subramaniam, Matthew G. Jones, Mariano I. Gabitto and Giuseppe-Antonio Saldi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tal Ashuach

9 papers receiving 512 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MultiVI: deep generative model for the integration of multimodal data

2023 118 citations Tal Ashuach, Mariano I. Gabitto et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tal Ashuach United States	7	439	66	65	61	52	10	515
Chantriolnt-Andreas Kapourani United Kingdom	5	500 1.1×	53 0.8×	55 0.8×	109 1.8×	57 1.1×	5	529
Anna Cuomo Australia	7	425 1.0×	88 1.3×	46 0.7×	79 1.3×	74 1.4×	13	505
Matthew R. Stone United States	4	463 1.1×	60 0.9×	93 1.4×	77 1.3×	70 1.3×	5	536
Derek Bogdanoff United States	5	377 0.9×	72 1.1×	40 0.6×	52 0.9×	37 0.7×	5	468
Dario Bressan United Kingdom	7	363 0.8×	29 0.4×	64 1.0×	114 1.9×	54 1.0×	9	472
Angelo Nuzzo Italy	8	351 0.8×	73 1.1×	35 0.5×	98 1.6×	23 0.4×	15	405
Xiuwei Zhang United States	11	318 0.7×	19 0.3×	75 1.2×	60 1.0×	49 0.9×	24	409
Vince Carey United States	3	397 0.9×	31 0.5×	101 1.6×	104 1.7×	66 1.3×	4	512
Hector Roux de Bézieux United States	5	303 0.7×	28 0.4×	99 1.5×	65 1.1×	34 0.7×	7	405
Lambda Moses United States	2	479 1.1×	21 0.3×	111 1.7×	89 1.5×	81 1.6×	2	554

Countries citing papers authored by Tal Ashuach

Since Specialization

Citations

This map shows the geographic impact of Tal Ashuach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tal Ashuach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Ashuach more than expected).

Fields of papers citing papers by Tal Ashuach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Ashuach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tal Ashuach. The network helps show where Tal Ashuach may publish in the future.

Co-authorship network of co-authors of Tal Ashuach

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Ashuach. A scholar is included among the top collaborators of Tal Ashuach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tal Ashuach. Tal Ashuach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

DeGroat, William, Fumitaka Inoue, Tal Ashuach, et al.. (2024). Comprehensive network modeling approaches unravel dynamic enhancer-promoter interactions across neural differentiation. Genome biology. 25(1). 221–221.

2.

Liu, Jiayi, Tal Ashuach, Fumitaka Inoue, et al.. (2024). Optimizing sequence design strategies for perturbation MPRAs: a computational evaluation framework. Nucleic Acids Research. 52(4). 1613–1627. 1 indexed citations

3.

Ashuach, Tal, et al.. (2023). MultiVI: deep generative model for the integration of multimodal data. Nature Methods. 20(8). 1222–1231. 118 indexed citations breakdown →

4.

Kreimer, Anat, Tal Ashuach, Fumitaka Inoue, et al.. (2022). Massively parallel reporter perturbation assays uncover temporal regulatory architecture during neural differentiation. Nature Communications. 13(1). 1504–1504. 27 indexed citations

5.

Ashuach, Tal, et al.. (2022). PeakVI: A deep generative model for single-cell chromatin accessibility analysis. Cell Reports Methods. 2(3). 100182–100182. 42 indexed citations

6.

Gordon, M. Grace, Fumitaka Inoue, Beth Martin, et al.. (2020). lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements. Nature Protocols. 15(8). 2387–2412. 70 indexed citations

7.

DeTomaso, David, Matthew G. Jones, Meena Subramaniam, et al.. (2019). Functional interpretation of single cell similarity maps. Nature Communications. 10(1). 4376–4376. 128 indexed citations

8.

Ashuach, Tal, David S. Fischer, Anat Kreimer, et al.. (2019). MPRAnalyze: statistical framework for massively parallel reporter assays. Genome biology. 20(1). 183–183. 53 indexed citations

9.

Inoue, Fumitaka, Anat Kreimer, Tal Ashuach, Nadav Ahituv, & Nir Yosef. (2019). Identification and Massively Parallel Characterization of Regulatory Elements Driving Neural Induction. Cell stem cell. 25(5). 713–727.e10. 72 indexed citations

10.

Theusch, Elizabeth, Yun Zhou, Tal Ashuach, et al.. (2019). GeneFishing to reconstruct context specific portraits of biological processes. Proceedings of the National Academy of Sciences. 116(38). 18943–18950. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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